In this paper we present an improved error correction approach for digital audio watermarking. It
uses a turbo coding algorithm that takes into account temporal variations of the host audio’s statistical
properties, using a turbo decoder that estimates the unknown host audio distribution in the watermarked audio.
Experimental results showed nearly one order of magnitude of the BER decrease during watermark extraction,
compared to the basic turbo decoding that does not use noise estimation.